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[Preprint]. 2023 May 11:arXiv:2305.06160v2.

Neuroscience needs Network Science

Dániel L Barabási^{1

2}, Ginestra Bianconi^{3

4}, Ed Bullmore⁵, Mark Burgess⁶, SueYeon Chung^{7

8}, Tina Eliassi-Rad^{9

10

11}, Dileep George¹², István A Kovács^{13

14}, Hernán Makse¹⁵, Christos Papadimitriou¹⁶, Thomas E Nichols^{17

18}, Olaf Sporns¹⁹, Kim Stachenfeld^{12

16}, Zoltán Toroczkai²⁰, Emma K Towlson²¹, Anthony M Zador²², Hongkui Zeng²³, Albert-László Barabási^{9

24

25}, Amy Bernard²⁶, György Buzsáki^{27

7}

Affiliations

¹ Biophysics Program, Harvard University, Cambridge, MA, USA.
² Department of Molecular and Cellular Biology and Center for Brain Science, Harvard University, Cambridge, Massachusetts, USA.
³ School of Mathematical Sciences, Queen Mary University of London, London, E1 4NS, UK.
⁴ The Alan Turing Institute, The British Library, London, NW1 2DB, UK.
⁵ Department of Psychiatry and Wolfson Brain Imaging Centre, University of Cambridge, Cambridge, United Kingdom.
⁶ ChiTek-i AS, Oslo, Norway.
⁷ Center for Neural Science, New York University, New York, NY, USA.
⁸ Center for Computational Neuroscience, Flatiron Institute, Simons Foundation, New York, NY, USA.
⁹ Network Science Institute, Northeastern University, Boston, MA, USA.
¹⁰ Khoury College of Computer Sciences, Northeastern University, Boston, MA, USA.
¹¹ Santa Fe Institute, Santa Fe, NM, USA.
¹² DeepMind.
¹³ Department of Physics and Astronomy, Northwestern University, 633 Clark Street, Evanston, IL 60208, USA.
¹⁴ Northwestern Institute on Complex Systems, Chambers Hall, 600 Foster St, Northwestern University, Evanston, IL 60208.
¹⁵ Levich Institute and Physics Department, City College of New York, New York, NY 10031 US.
¹⁶ Columbia University, New York, NY, 10027, USA.
¹⁷ Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK.
¹⁸ Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, OX3 9DU, UK.
¹⁹ Department of Psychological and Brain Sciences, Indiana University, Bloomington IN 47405.
²⁰ Department of Physics, University of Notre Dame, 225 Nieuwland Science Hall, Notre Dame IN 46556, USA.
²¹ Department of Computer Science, Department of Physics and Astronomy, Hotchkiss Brain Institute, Children's Research Hospital, University of Calgary, Calgary, Alberta, Canada 22.
²² Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, 11724.
²³ Allen Institute for Brain Science, Seattle, WA, USA.
²⁴ Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA.
²⁵ Department of Network and Data Science, Central European University, Budapest, H-1051, Hungary.
²⁶ The Kavli Foundation, Los Angeles, CA, USA.
²⁷ Neuroscience Institute and Department of Neurology, NYU Grossman School of Medicine, New York University, New York, NY, USA.

PMID: 37214134
PMCID: PMC10197734

Neuroscience needs Network Science

Dániel L Barabási et al. ArXiv. 2023.

[Preprint]. 2023 May 11:arXiv:2305.06160v2.

Authors

Affiliations

¹ Biophysics Program, Harvard University, Cambridge, MA, USA.
² Department of Molecular and Cellular Biology and Center for Brain Science, Harvard University, Cambridge, Massachusetts, USA.
³ School of Mathematical Sciences, Queen Mary University of London, London, E1 4NS, UK.
⁴ The Alan Turing Institute, The British Library, London, NW1 2DB, UK.
⁵ Department of Psychiatry and Wolfson Brain Imaging Centre, University of Cambridge, Cambridge, United Kingdom.
⁶ ChiTek-i AS, Oslo, Norway.
⁷ Center for Neural Science, New York University, New York, NY, USA.
⁸ Center for Computational Neuroscience, Flatiron Institute, Simons Foundation, New York, NY, USA.
⁹ Network Science Institute, Northeastern University, Boston, MA, USA.
¹⁰ Khoury College of Computer Sciences, Northeastern University, Boston, MA, USA.
¹¹ Santa Fe Institute, Santa Fe, NM, USA.
¹² DeepMind.
¹³ Department of Physics and Astronomy, Northwestern University, 633 Clark Street, Evanston, IL 60208, USA.
¹⁴ Northwestern Institute on Complex Systems, Chambers Hall, 600 Foster St, Northwestern University, Evanston, IL 60208.
¹⁵ Levich Institute and Physics Department, City College of New York, New York, NY 10031 US.
¹⁶ Columbia University, New York, NY, 10027, USA.
¹⁷ Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK.
¹⁸ Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, OX3 9DU, UK.
¹⁹ Department of Psychological and Brain Sciences, Indiana University, Bloomington IN 47405.
²⁰ Department of Physics, University of Notre Dame, 225 Nieuwland Science Hall, Notre Dame IN 46556, USA.
²¹ Department of Computer Science, Department of Physics and Astronomy, Hotchkiss Brain Institute, Children's Research Hospital, University of Calgary, Calgary, Alberta, Canada 22.
²² Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, 11724.
²³ Allen Institute for Brain Science, Seattle, WA, USA.
²⁴ Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, 02115, USA.
²⁵ Department of Network and Data Science, Central European University, Budapest, H-1051, Hungary.
²⁶ The Kavli Foundation, Los Angeles, CA, USA.
²⁷ Neuroscience Institute and Department of Neurology, NYU Grossman School of Medicine, New York University, New York, NY, USA.

PMID: 37214134
PMCID: PMC10197734

Update in

Neuroscience Needs Network Science.
Barabási DL, Bianconi G, Bullmore E, Burgess M, Chung S, Eliassi-Rad T, George D, Kovács IA, Makse H, Nichols TE, Papadimitriou C, Sporns O, Stachenfeld K, Toroczkai Z, Towlson EK, Zador AM, Zeng H, Barabási AL, Bernard A, Buzsáki G. Barabási DL, et al. J Neurosci. 2023 Aug 23;43(34):5989-5995. doi: 10.1523/JNEUROSCI.1014-23.2023. J Neurosci. 2023. PMID: 37612141 Free PMC article.

Abstract

The brain is a complex system comprising a myriad of interacting elements, posing significant challenges in understanding its structure, function, and dynamics. Network science has emerged as a powerful tool for studying such intricate systems, offering a framework for integrating multiscale data and complexity. Here, we discuss the application of network science in the study of the brain, addressing topics such as network models and metrics, the connectome, and the role of dynamics in neural networks. We explore the challenges and opportunities in integrating multiple data streams for understanding the neural transitions from development to healthy function to disease, and discuss the potential for collaboration between network science and neuroscience communities. We underscore the importance of fostering interdisciplinary opportunities through funding initiatives, workshops, and conferences, as well as supporting students and postdoctoral fellows with interests in both disciplines. By uniting the network science and neuroscience communities, we can develop novel network-based methods tailored to neural circuits, paving the way towards a deeper understanding of the brain and its functions.

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Figures

**re 1:. Multi-scale interaction in network development, function and disease.**
**Development:** Neural connectivity emerges as a function of cell identity, linking network dynamics across modalities and scales. Regulatory networks (top left) underlie cell differentiation, and protein-protein interactions guide morphological maturation and synaptic specificity (top right). **Function:** Structural connectivity guides the emergent possibilities of functional networks, determining the strength with which one neuron can influence the next (bottom). **Disease:** In a diseased state, failures at multiple network levels leads to perturbed function. Genetic mutations cause disruptions in gene regulatory networks (top left), as well as conformation changes that change protein-protein interactions (top right), potentially leading to loss of synaptic connectivity (dashed neurites). In turn, reduced connection strength between neurons disruptions activity propagation (bottom), providing links between genetic changes and cognitive dysfunction.

See this image and copyright information in PMC

References

1. Abbott Larry F., Bock Davi D., Callaway Edward M., Denk Winfried, Dulac Catherine, Fairhall Adrienne L., Fiete Ila, et al. 2020. “The Mind of a Mouse.” Cell 182 (6): 1372–76. - PubMed
1. Andreano Joseph M., Touroutoglou Alexandra, Dickerson Brad, and Lisa Feldman Barrett. 2018. “Hormonal Cycles, Brain Network Connectivity, and Windows of Vulnerability to Affective Disorder.” Trends in Neurosciences 41 (10): 660–76. - PMC - PubMed
1. Barabasi A. L., and Albert R.. 1999. “Emergence of Scaling in Random Networks.” Science 286 (5439): 509–12. - PubMed
1. Barabási Dániel L., and Barabási Albert-László. 2020. “A Genetic Model of the Connectome.” Neuron 105 (3): 435–45.e5. - PMC - PubMed
1. Barabási Dániel L., Beynon Taliesin, and Katona Ádám. 2022. “Complex Computation from Developmental Priors.” Biorxiv. 10.1101/2021.03.29.437584. - DOI - PMC - PubMed

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This is a preprint.

Neuroscience needs Network Science

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Neuroscience needs Network Science

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